
\begin{table}[ht]
\scriptsize
\caption{Results from the models used to estimate the effects in \Cref{fig:fgC3}}\label{tab:fgC3}
\begin{center}
\begin{tabular}{lccccccccc}
\hline\hline
 & \multicolumn{4}{c}{Democratic Appointees} & & \multicolumn{4}{c}{Republican Appointees}\\\cline{2-5}\cline{7-10}
 & (1) & (2) & (3) & (4) &  & (5) & (6) & (7) & (8)\\
\hline
Nontraditional Appointees & 0.003 & 0.004 & --0.003 & --0.003 &  & --0.022** & --0.022** & 0.012* & 0.013\\
 & (0.007) & (0.008) & (0.006) & (0.007) &  & (0.007) & (0.007) & (0.006) & (0.007)\\
\hline
Outcome & Stlmt. & Stlmt. & Deft. & Deft. &  & Stlmt. & Stlmt. & Deft. & Deft.\\
 &  &  & Wins & Wins &  &  &  & Wins & Wins\\
Cases & 131,502 & 131,502 & 131,502 & 131,502 &  & 133,387 & 133,387 & 133,387 & 133,387\\
Treatment Judges & 164 & 164 & 164 & 164 &  & 86 & 86 & 86 & 86\\
Control Judges & 131 & 131 & 131 & 131 &  & 164 & 164 & 164 & 164\\
Randomization Blocks & \checkmark & \checkmark & \checkmark & \checkmark &  & \checkmark & \checkmark & \checkmark & \checkmark\\
Min. Units/Trt. Arm & 5 & 5 & 5 & 5 &  & 5 & 5 & 5 & 5\\
Appt. Pres. Controls &  & \checkmark &  & \checkmark &  &  & \checkmark &  & \checkmark\\
\hline\hline
\end{tabular}
\end{center}
{\scriptsize \textit{Notes:} For the appointing president variable, the excluded categories are Reagan and Clinton. All models include district-division-year fixed effects, which we refer to as our ``randomization blocks.'' We also use an adjustment proposed by Lin (2013) for all control variables (see main text). Standard errors are clustered by judge. Statistical significance is indicated by stars: * $p$ < 0.05, ** $p$ < 0.01 and *** $p$ < 0.001. }
\end{table}
